Ph.D. candidate in Mathematical Statistics

• Chair of Mathematical Statistics, EPFL.

• Supervisor: Victor M. Panaretos

• Expected Graduation: Summer, 2026

Research Interest 

I am a mathematical statistician motivated by the geometric structures inherent in modern scientific data. My research focuses on elucidating the underlying geometry of statistical inference in inverse problems and Optimal Transport (OT), primarily through the lenses of Metric Geometry and Reproducing Kernel Hilbert Spaces (RKHS).

Research Keywords  

Kernel Learning ⋅ CT Scans & Cryo-EM ⋅ Gaussian Optimal Transport ⋅ Quantum Mechanics

See the attached CV for more recent update (Last update: Oct. 2025).